IS-ENES3

IS-ENES3

Principal Investigator

eScience Center Team

Providing the infrastructure to better understand and project climate variability and change

IS-ENES3 will deliver the third phase of the distributed e-infrastructure of the European Network for Earth System Modelling (ENES). IS-ENES3 will be initiated as the European climate modelling community faces the challenges of contributing to the next assessment report of the Intergovernmental Panel on Climate Change through the 6th phase of the Coupled Model Intercomparison Project. ISENES3 will address these challenges by developing, documenting and deploying new and advanced
models and tools, standards and services to deal with unprecedented data volumes and model complexity.

IS-ENES3 will stimulate collaboration, disseminate software and data, and further integrate the
European climate science community. IS-ENES3 will support climate research, climate impact
science, and the climate services industry. It will bring down barriers of access, and expand the
community who can exploit the data and knowledge produced by state-of-the-art climate models. In
doing so, it will find innovative ways of working with the Copernicus programme, other parts of the
European data infrastructure, and with the high performance computing and data analytics industries.

IS-ENES3 will be delivered by partners combining expertise in climate modelling, computational
science, data management, climate impacts and climate services, with proven ability to increase the
influence of European science internationally. It will deliver the European part of the Earth System
Grid Federation and a central point of entry to services providing access to new data, software, models
and tools. Joint research will support a new community sea ice model, promote efficient use of highperformance
computing, improve the European common model evaluation framework, and develop
and enhance services on data. Networking will grow the user base, increase the cohesion of the climate
modelling community, promote innovation and prepare for a long term sustainable infrastructure in
support of climate modelling.

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Niels works on the water management project as well as general eScience infrastructure. Niels is also part-time guest researcher at the Leiden Observatory, where he applies distributed computing techniques to the AMUSE computational astronomy simulation framework.